This paper proposes an algorithm of image segmentation based on pattern classification according to the features of soil microphotographs.
该文针对土壤显微图片特征，基干模式分类对图象实施分割；
At first, extracting features of chromaticity moments of texture image of grape disease is done, then classification method of SVM for recognition of grape disease is discussed.
首先利用色度矩提取葡萄病害叶片纹理图像的特征向量，然后将支持向量机分类方法应用于病害的识别。
According to the rice spectral features of hyperspectral image data acquired during the rice is growing, a hybrid decision tree classification algorithm dealing with the variety of rice is developed.
根据水稻生长期的高光谱数据的光谱特征，设计了一个混合决策树分类算法。
At first, the extracting features of chromaticity moments of texture image of maize disease is done, then classification method of SVM for recognition of maize disease is discussed.
首先利用色度矩提取玉米病害叶片纹理图像的特征向量，然后将支持向量机分类方法应用于病害的识别。
Firstly KPCA is used to extract the features of human face image, and then SVM combined with the nearest distance rule is used for classification, which depends on the kernel principal components.
该方法首先利用核主元分析对人脸图像进行特征提取，然后依据支持向量机与最近邻准则对所提取的核主元特征进行分类识别。
Method:Radiograpyies and CT images, clinical presentations, and pre- and postoperative HRCT image of 16 cases were dynamically observed and the image features and classification were analyzed.
方法：对16例肺泡壁消失肺综合征患者的临床表现、多次胸片及CT检查、手术前后HRCT图像进行动态观察，综合分析其影像学表现并分型。
Method:Radiograpyies and CT images, clinical presentations, and pre- and postoperative HRCT image of 16 cases were dynamically observed and the image features and classification were analyzed.
方法：对16例肺泡壁消失肺综合征患者的临床表现、多次胸片及CT检查、手术前后HRCT图像进行动态观察，综合分析其影像学表现并分型。
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